An effective approach for the optimisation of cutting parameters
by Xiaoyun Jiang; Wenchin Chen
International Journal of Computer Applications in Technology (IJCAT), Vol. 50, No. 3/4, 2014

Abstract: Optimisation of cutting parameters enhances the precision and stability of processes in the machinery industry. In this study, hole-boring in bearing brackets for automobiles is examined as a case for optimisation, and five cutting parameters having great influence on the workpiece cutting accuracy are selected. To optimise the cutting parameters, a novel approach integrating Taguchi method, particle swarm optimisation (PSO) and back-propagation neural networks based on PSO is presented in this study. Experimental results show that the proposed approach can quickly determine the optimal cutting parameters, which not only meet the quality specification for the hole-boring, but also effectively enhance the overall process stability.

Online publication date: Sat, 07-Feb-2015

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